Temperature-Based Detection of Initial Yielding Point in Loading of Tensile Specimens Made of Structural Steel

Authors: Aqsa Jamil, Hiroshi Tamura, Hiroshi Katsuchi, Jiaqi Wang

Abstract:

Yield point represents the upper limit of forces which can be applied on a specimen without causing any permanent deformation. After yielding, the behavior of specimen suddenly changes including the possibility of cracking or buckling. So, the accumulation of damage or type of fracture changes depending on this condition. As it is difficult to accurately detect yield points of the several stress concentration points in structural steel specimens, an effort has been made in this research work to develop a convenient technique using thermography (temperature-based detection) during tensile tests for the precise detection of yield point initiation. To verify the applicability of thermography camera, tests were conducted under different loading conditions and measuring the deformation by installing various strain gauges and monitoring the surface temperature with the help of thermography camera. The yield point of specimens was estimated by the help of temperature dip which occurs due to the thermoelastic effect during the plastic deformation. The scattering of the data has been checked by performing repeatability analysis. The effect of temperature imperfection and light source has been checked by carrying out the tests at daytime as well as midnight and by calculating the signal to noise ratio (SNR) of the noised data from the infrared thermography camera, it can be concluded that the camera is independent of testing time and the presence of a visible light source. Furthermore, a fully coupled thermal-stress analysis has been performed by using Abaqus/Standard exact implementation technique to validate the temperature profiles obtained from the thermography camera and to check the feasibility of numerical simulation for the prediction of results extracted with the help of thermographic technique.

Keywords: Signal to noise ratio, thermoelastic effect, thermography, yield point.

References:

[1] R. Hill, “LXXXVIII. On the state of stress in a plastic-rigid body at the yield point,” London, Edinburgh, Dublin Philos. Mag. J. Sci., vol. 42, no. 331, pp. 868–875, 1951.
[2] T. Burczyński, W. Beluch, A. Dlugosz, W. Kuś, M. Nowakowski, and P. Orantek, “Evolutionary computation in optimization and identification,” Comput. Assist. Mech. Eng. Sci., vol. 9, no. 1, pp. 3–20, 2002.
[3] A. Rogalski, Infrared detectors. 2009. doi: 10.1142/9789812834133_0014.
[4] B. M. Gratt and M. Anbar, “Thermology and Facial Telethermography: Part II. Current and Future Clinical Applications in Dentistry,” Dentomaxillofacial Radiol., pp. 68–74, 1998.
[5] L. Chaerle, W. V. Caeneghem, E. Messens, H. Lambers, M. V. Montagu, and D. V. D. Straeten, “Presymptomatic Visualization of Plant-Virus Interactions by Thermography,” Nat. Biotechnol., pp. 813–816, 1999.
[6] D. S. P. Rao, “Infrared thermography and its applications in civil engineering,” Indian Concr. J., vol. 82, no. 5, pp. 41–50, 2008.
[7] S. R. Khedkar and P. V. R. Dhawale, “Infrared Thermography and Its Application in Building,” no. May, pp. 57–61, 2019.
[8] I. Todhunter and K. Pearson, A History of the Elasticity and Strength of Materials, Vol. 2. Cambridge University Press, 1893.
[9] M. A. Biot, “Thermoelasticity and Irreversible Thermodynamics,” J. Appl. Phys., pp. 240–253, 1956.
[10] H. Sakamoto, I. Oda, T. Doi, and M. Yamamoto, “Evaluation system of plastic deformation in elasto visco-plastic body with crack by infrared thermography,” Trans. Eng. Sci., vol. 6, pp. 453–459, 1994.
[11] H. Sakamoto, “Estimation of plastic deformation in strain rate dependence materials by infrared video system,” Trans. Model. Simul., vol. 16, pp. 67–76, 1997.
[12] B. Venkataraman, B. Raj, and C. K. Mukhopadhyay, “Characterisation_of_Tensile_Deformation_through_Infrared_Imaging_Technique.pdf,” J. Korean Soc. Nondestruct. Test., vol. 22, 2002.
[13] A. Lipski, “Impact of the strain rate during tension test on 46Cr1 steel temperature change,” Key Eng. Mater., vol. 598, pp. 133–140, 2014, doi: 10.4028/www.scientific.net/KEM.598.133.
[14] B. Venkatraman, M. Menaka, and B. Raj, “Thermography for Characterisation of Deformation Process in Stainless Steels,” no. January 2017, 2014, doi: 10.21611/qirt.2014.165.
[15] E. Stange, Z. Andleeb, H. Khawaja, and M. Moatamedi, “Multiphysics study of tensile testing using infrared thermography,” Int. J. Multiphys., vol. 13, no. 2, pp. 191–202, 2019, doi: 10.21152/1750-9548.13.2.191.
[16] M. Kutin, S. Ristić, Z. Burzić, and M. Puharić, “Testing the Tensile Features of Steel Specimens by Thermography and Conventional Methods,” vol. 60, no. 1, pp. 66–70, 2010.
[17] M. M. Kutin, S. S. Risti, M. R. Prvulovi, M. M. Prokolab, N. M. Markovi, and M. R. Radosavljevi, “Application of thermography during tensile testing of butt welded joints,” FME Trans., vol. 39, no. 3, pp. 133–138, 2011.
[18] Lord Kelvin, Trans. Roy. Soc. Edinburgh, 1853.
[19] W. Oliferuk, A. Korbel, and M. W. Grabski, “Slip behaviour and energy storage process during uniaxial deformation of austenitic steel tensile,” vol. 236, pp. 1122–1125, 1997.
[20] R. Rocca and M. B. Bever, “the Thermoelastic Effect in Iron and Nickle as a function of temperature,” vol. 188, no. 1830, pp. 327–333, 1950.
[21] M. Smith, ABAQUS Analysis User’s Guide, Version 6.14. Dassault Systèmes Simulia Corp, 2014.
[22] N. Avionics, “InfReC Analyzer NS9500 Professional for F50 (User Manual).” 2017.
[23] D. R. Parrish, Todd B.Gitelman, K. S. LaBar, and M. M. Mesulam, “Impact of signal-to-noise on functional MRI,” Magn. Reson. Med., vol. 12, no. 16, pp. 925–932, 2000, doi: 10.1097/00001756-200111160-00017.